Overview

Dataset statistics

Number of variables38
Number of observations94095
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.3 MiB
Average record size in memory304.0 B

Variable types

CAT30
NUM7
BOOL1

Warnings

DT_GERACAO has constant value "94095" Constant
HH_GERACAO has constant value "94095" Constant
ANO_ELEICAO has constant value "94095" Constant
CD_TIPO_ELEICAO has constant value "94095" Constant
NM_TIPO_ELEICAO has constant value "94095" Constant
DS_ELEICAO has constant value "94095" Constant
TP_ABRANGENCIA has constant value "94095" Constant
SG_UE has constant value "94095" Constant
NM_UE has constant value "94095" Constant
CD_CARGO has constant value "94095" Constant
DS_CARGO has constant value "94095" Constant
NM_SOCIAL_CANDIDATO has constant value "94095" Constant
CD_SITUACAO_CANDIDATURA has constant value "94095" Constant
DS_SITUACAO_CANDIDATURA has constant value "94095" Constant
CD_DETALHE_SITUACAO_CAND has constant value "94095" Constant
DS_DETALHE_SITUACAO_CAND has constant value "94095" Constant
ST_VOTO_EM_TRANSITO has constant value "94095" Constant
NM_MUNICIPIO has a high cardinality: 5456 distinct values High cardinality
CD_ELEICAO is highly correlated with NR_TURNOHigh correlation
NR_TURNO is highly correlated with CD_ELEICAOHigh correlation
NR_PARTIDO is highly correlated with NR_CANDIDATOHigh correlation
NR_CANDIDATO is highly correlated with NR_PARTIDOHigh correlation
SQ_COLIGACAO is highly correlated with SQ_CANDIDATOHigh correlation
SQ_CANDIDATO is highly correlated with SQ_COLIGACAOHigh correlation
CD_ELEICAO is highly correlated with NR_TURNO and 1 other fieldsHigh correlation
NR_TURNO is highly correlated with CD_ELEICAO and 1 other fieldsHigh correlation
DT_ELEICAO is highly correlated with NR_TURNO and 1 other fieldsHigh correlation
NM_URNA_CANDIDATO is highly correlated with NM_CANDIDATO and 5 other fieldsHigh correlation
NM_CANDIDATO is highly correlated with NM_URNA_CANDIDATO and 5 other fieldsHigh correlation
TP_AGREMIACAO is highly correlated with NM_CANDIDATO and 5 other fieldsHigh correlation
SG_PARTIDO is highly correlated with NM_CANDIDATO and 5 other fieldsHigh correlation
NM_PARTIDO is highly correlated with NM_CANDIDATO and 5 other fieldsHigh correlation
NM_COLIGACAO is highly correlated with NM_CANDIDATO and 5 other fieldsHigh correlation
DS_COMPOSICAO_COLIGACAO is highly correlated with NM_CANDIDATO and 5 other fieldsHigh correlation
DS_SIT_TOT_TURNO is highly correlated with CD_SIT_TOT_TURNOHigh correlation
CD_SIT_TOT_TURNO is highly correlated with DS_SIT_TOT_TURNOHigh correlation
QT_VOTOS_NOMINAIS has 6020 (6.4%) zeros Zeros

Reproduction

Analysis started2020-10-13 11:35:35.577858
Analysis finished2020-10-13 11:36:19.151699
Duration43.57 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

DT_GERACAO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
27/09/2020
94095 
ValueCountFrequency (%) 
27/09/202094095100.0%
 
2020-10-13T08:36:19.416535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:19.623407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:19.803306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length10
Min length10

HH_GERACAO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
19:20:08
94095 
ValueCountFrequency (%) 
19:20:0894095100.0%
 
2020-10-13T08:36:20.142103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:20.495147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:20.745613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length8
Median length8
Mean length8
Min length8

ANO_ELEICAO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
2018
94095 
ValueCountFrequency (%) 
201894095100.0%
 
2020-10-13T08:36:21.113854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:21.303738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:21.467637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length4
Mean length4
Min length4

CD_TIPO_ELEICAO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
2
94095 
ValueCountFrequency (%) 
294095100.0%
 
2020-10-13T08:36:21.689497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:21.816420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:21.989321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

NM_TIPO_ELEICAO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
Eleição Ordinária
94095 
ValueCountFrequency (%) 
Eleição Ordinária94095100.0%
 
2020-10-13T08:36:22.237158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:22.366079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:22.532974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length17
Median length17
Mean length17
Min length17

NR_TURNO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
1
81549 
2
12546 
ValueCountFrequency (%) 
18154986.7%
 
21254613.3%
 
2020-10-13T08:36:22.778823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:22.960299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:23.178165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

CD_ELEICAO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
295
81549 
296
12546 
ValueCountFrequency (%) 
2958154986.7%
 
2961254613.3%
 
2020-10-13T08:36:23.440001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:23.648880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:23.822381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

DS_ELEICAO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
ELEIÇÃO GERAL FEDERAL 2018
94095 
ValueCountFrequency (%) 
ELEIÇÃO GERAL FEDERAL 201894095100.0%
 
2020-10-13T08:36:24.061246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:24.218136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:24.351054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length26
Median length26
Mean length26
Min length26

DT_ELEICAO
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
07/10/2018
81549 
28/10/2018
12546 
ValueCountFrequency (%) 
07/10/20188154986.7%
 
28/10/20181254613.3%
 
2020-10-13T08:36:24.577921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:24.742822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:24.909817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length10
Min length10

TP_ABRANGENCIA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
F
94095 
ValueCountFrequency (%) 
F94095100.0%
 
2020-10-13T08:36:25.168739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:25.361625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:25.526786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SG_UF
Categorical

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
MG
13470 
SP
11700 
RS
7830 
BA
6750 
PR
6300 
Other values (23)
48045 
ValueCountFrequency (%) 
MG1347014.3%
 
SP1170012.4%
 
RS78308.3%
 
BA67507.2%
 
PR63006.7%
 
SC47105.0%
 
GO38854.1%
 
PI34503.7%
 
PB34503.7%
 
MA33453.6%
 
Other values (18)2920531.0%
 
2020-10-13T08:36:25.817618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:26.100782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

SG_UE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
BR
94095 
ValueCountFrequency (%) 
BR94095100.0%
 
2020-10-13T08:36:26.346641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:26.502557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:26.633482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

NM_UE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
BRASIL
94095 
ValueCountFrequency (%) 
BRASIL94095100.0%
 
2020-10-13T08:36:26.867354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:27.089811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:27.267701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length6
Min length6

CD_MUNICIPIO
Real number (ℝ≥0)

Distinct5741
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51414.64897
Minimum19
Maximum99430
Zeros0
Zeros (%)0.0%
Memory size735.1 KiB
2020-10-13T08:36:27.583155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile5894
Q125755
median51535
Q377771
95-th percentile93092
Maximum99430
Range99411
Interquartile range (IQR)52016

Descriptive statistics

Standard deviation28978.01428
Coefficient of variation (CV)0.5636139672
Kurtosis-1.282335709
Mean51414.64897
Median Absolute Deviation (MAD)26039
Skewness-0.08742200325
Sum4837861395
Variance839725311.4
MonotocityNot monotonic
2020-10-13T08:36:27.918955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
710728700.9%
 
600117350.8%
 
384902850.3%
 
970122850.3%
 
412382700.3%
 
138972550.3%
 
25501950.2%
 
253131650.2%
 
42781500.2%
 
880131500.2%
 
Other values (5731)9073596.4%
 
ValueCountFrequency (%) 
1915< 0.1%
 
35600.1%
 
5130< 0.1%
 
7815< 0.1%
 
9415< 0.1%
 
ValueCountFrequency (%) 
9943015< 0.1%
 
9942215< 0.1%
 
9940615< 0.1%
 
9937615< 0.1%
 
9935015< 0.1%
 

NM_MUNICIPIO
Categorical

HIGH CARDINALITY

Distinct5456
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
SÃO PAULO
 
870
RIO DE JANEIRO
 
735
BRASÍLIA
 
285
SALVADOR
 
285
BELO HORIZONTE
 
270
Other values (5451)
91650 
ValueCountFrequency (%) 
SÃO PAULO8700.9%
 
RIO DE JANEIRO7350.8%
 
BRASÍLIA2850.3%
 
SALVADOR2850.3%
 
BELO HORIZONTE2700.3%
 
FORTALEZA2550.3%
 
MANAUS1950.2%
 
BELÉM1800.2%
 
RECIFE1650.2%
 
CURITIBA1500.2%
 
Other values (5446)9070596.4%
 
2020-10-13T08:36:28.679482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:29.093225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length32
Median length10
Mean length11.38625857
Min length3

NR_ZONA
Real number (ℝ≥0)

Distinct421
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.72166428
Minimum1
Maximum427
Zeros0
Zeros (%)0.0%
Memory size735.1 KiB
2020-10-13T08:36:29.937719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q127
median65
Q3131
95-th percentile285
Maximum427
Range426
Interquartile range (IQR)104

Descriptive statistics

Standard deviation86.63860455
Coefficient of variation (CV)0.9445816889
Kurtosis1.653970163
Mean91.72166428
Median Absolute Deviation (MAD)45
Skewness1.411159311
Sum8630550
Variance7506.247799
MonotocityNot monotonic
2020-10-13T08:36:30.279500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
131353.3%
 
810201.1%
 
119601.0%
 
49151.0%
 
59151.0%
 
99001.0%
 
188550.9%
 
148550.9%
 
158400.9%
 
68250.9%
 
Other values (411)8287588.1%
 
ValueCountFrequency (%) 
131353.3%
 
26450.7%
 
37500.8%
 
49151.0%
 
59151.0%
 
ValueCountFrequency (%) 
427900.1%
 
42615< 0.1%
 
42415< 0.1%
 
42315< 0.1%
 
42215< 0.1%
 

CD_CARGO
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
1
94095 
ValueCountFrequency (%) 
194095100.0%
 
2020-10-13T08:36:30.452394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

DS_CARGO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
Presidente
94095 
ValueCountFrequency (%) 
Presidente94095100.0%
 
2020-10-13T08:36:30.596303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:30.755205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:30.898116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length10
Min length10

SQ_CANDIDATO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.800006147e+11
Minimum2.80000601e+11
Maximum2.800006298e+11
Zeros0
Zeros (%)0.0%
Memory size735.1 KiB
2020-10-13T08:36:31.091000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.80000601e+11
5-th percentile2.80000601e+11
Q12.800006025e+11
median2.800006145e+11
Q32.800006241e+11
95-th percentile2.800006298e+11
Maximum2.800006298e+11
Range28792
Interquartile range (IQR)21582

Descriptive statistics

Standard deviation10202.76108
Coefficient of variation (CV)3.643835244e-08
Kurtosis-1.469972501
Mean2.800006147e+11
Median Absolute Deviation (MAD)9565
Skewness-0.01354030193
Sum2.634665784e+16
Variance104096333.7
MonotocityNot monotonic
2020-10-13T08:36:31.367975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
2.800006145e+111254613.3%
 
2.800006298e+111254613.3%
 
2.80000601e+1162736.7%
 
2.800006025e+1162736.7%
 
2.800006076e+1162736.7%
 
2.800006241e+1162736.7%
 
2.800006241e+1162736.7%
 
2.800006222e+1162736.7%
 
2.800006012e+1162736.7%
 
2.800006185e+1162736.7%
 
Other values (3)1881920.0%
 
ValueCountFrequency (%) 
2.80000601e+1162736.7%
 
2.800006012e+1162736.7%
 
2.800006025e+1162736.7%
 
2.800006025e+1162736.7%
 
2.800006056e+1162736.7%
 
ValueCountFrequency (%) 
2.800006298e+111254613.3%
 
2.800006241e+1162736.7%
 
2.800006241e+1162736.7%
 
2.800006223e+1162736.7%
 
2.800006222e+1162736.7%
 

NR_CANDIDATO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.46666667
Minimum12
Maximum54
Zeros0
Zeros (%)0.0%
Memory size735.1 KiB
2020-10-13T08:36:31.687783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q115
median18
Q345
95-th percentile54
Maximum54
Range42
Interquartile range (IQR)30

Descriptive statistics

Standard deviation15.03278497
Coefficient of variation (CV)0.5679893565
Kurtosis-1.00919958
Mean26.46666667
Median Absolute Deviation (MAD)5
Skewness0.8202333098
Sum2490381
Variance225.9846239
MonotocityNot monotonic
2020-10-13T08:36:31.946624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
171254613.3%
 
131254613.3%
 
5462736.7%
 
5162736.7%
 
5062736.7%
 
4562736.7%
 
3062736.7%
 
2762736.7%
 
1962736.7%
 
1862736.7%
 
Other values (3)1881920.0%
 
ValueCountFrequency (%) 
1262736.7%
 
131254613.3%
 
1562736.7%
 
1662736.7%
 
171254613.3%
 
ValueCountFrequency (%) 
5462736.7%
 
5162736.7%
 
5062736.7%
 
4562736.7%
 
3062736.7%
 

NM_CANDIDATO
Categorical

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
JAIR MESSIAS BOLSONARO
12546 
FERNANDO HADDAD
12546 
CIRO FERREIRA GOMES
6273 
HENRIQUE DE CAMPOS MEIRELLES
6273 
JOÃO VICENTE FONTELLA GOULART
6273 
Other values (8)
50184 
ValueCountFrequency (%) 
JAIR MESSIAS BOLSONARO1254613.3%
 
FERNANDO HADDAD1254613.3%
 
CIRO FERREIRA GOMES62736.7%
 
HENRIQUE DE CAMPOS MEIRELLES62736.7%
 
JOÃO VICENTE FONTELLA GOULART62736.7%
 
JOÃO DIONISIO FILGUEIRA BARRETO AMOEDO62736.7%
 
ALVARO FERNANDES DIAS62736.7%
 
GERALDO JOSÉ RODRIGUES ALCKMIN FILHO62736.7%
 
MARIA OSMARINA MARINA DA SILVA VAZ DE LIMA62736.7%
 
JOSE MARIA EYMAEL62736.7%
 
Other values (3)1881920.0%
 
2020-10-13T08:36:32.270447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:32.647560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length42
Median length23
Mean length26.6
Min length15

NM_URNA_CANDIDATO
Categorical

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
JAIR BOLSONARO
12546 
FERNANDO HADDAD
12546 
GUILHERME BOULOS
6273 
MARINA SILVA
6273 
JOÃO GOULART FILHO
6273 
Other values (8)
50184 
ValueCountFrequency (%) 
JAIR BOLSONARO1254613.3%
 
FERNANDO HADDAD1254613.3%
 
GUILHERME BOULOS62736.7%
 
MARINA SILVA62736.7%
 
JOÃO GOULART FILHO62736.7%
 
CABO DACIOLO62736.7%
 
VERA62736.7%
 
CIRO GOMES62736.7%
 
ALVARO DIAS62736.7%
 
EYMAEL62736.7%
 
Other values (3)1881920.0%
 
2020-10-13T08:36:33.057823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:33.344661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length18
Median length14
Mean length12.73333333
Min length4

NM_SOCIAL_CANDIDATO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
#NULO#
94095 
ValueCountFrequency (%) 
#NULO#94095100.0%
 
2020-10-13T08:36:33.630487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:33.809375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:33.973280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length6
Min length6

CD_SITUACAO_CANDIDATURA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
12
94095 
ValueCountFrequency (%) 
1294095100.0%
 
2020-10-13T08:36:34.254111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:34.448505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:34.612423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

DS_SITUACAO_CANDIDATURA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
APTO
94095 
ValueCountFrequency (%) 
APTO94095100.0%
 
2020-10-13T08:36:34.901254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:35.070161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:35.235054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length4
Mean length4
Min length4

CD_DETALHE_SITUACAO_CAND
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
2
94095 
ValueCountFrequency (%) 
294095100.0%
 
2020-10-13T08:36:35.457355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:35.593488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:35.712414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

DS_DETALHE_SITUACAO_CAND
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
DEFERIDO
94095 
ValueCountFrequency (%) 
DEFERIDO94095100.0%
 
2020-10-13T08:36:35.899297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:36.032217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:36.150150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length8
Median length8
Mean length8
Min length8

TP_AGREMIACAO
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
Coligação
62730 
Partido isolado
31365 
ValueCountFrequency (%) 
Coligação6273066.7%
 
Partido isolado3136533.3%
 
2020-10-13T08:36:36.358322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:36.510242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:36.684142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length15
Median length9
Mean length11
Min length9

NR_PARTIDO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.46666667
Minimum12
Maximum54
Zeros0
Zeros (%)0.0%
Memory size735.1 KiB
2020-10-13T08:36:36.889204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q115
median18
Q345
95-th percentile54
Maximum54
Range42
Interquartile range (IQR)30

Descriptive statistics

Standard deviation15.03278497
Coefficient of variation (CV)0.5679893565
Kurtosis-1.00919958
Mean26.46666667
Median Absolute Deviation (MAD)5
Skewness0.8202333098
Sum2490381
Variance225.9846239
MonotocityNot monotonic
2020-10-13T08:36:37.063601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
171254613.3%
 
131254613.3%
 
5462736.7%
 
5162736.7%
 
5062736.7%
 
4562736.7%
 
3062736.7%
 
2762736.7%
 
1962736.7%
 
1862736.7%
 
Other values (3)1881920.0%
 
ValueCountFrequency (%) 
1262736.7%
 
131254613.3%
 
1562736.7%
 
1662736.7%
 
171254613.3%
 
ValueCountFrequency (%) 
5462736.7%
 
5162736.7%
 
5062736.7%
 
4562736.7%
 
3062736.7%
 

SG_PARTIDO
Categorical

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
PT
12546 
PSL
12546 
PPL
6273 
PSOL
6273 
MDB
6273 
Other values (8)
50184 
ValueCountFrequency (%) 
PT1254613.3%
 
PSL1254613.3%
 
PPL62736.7%
 
PSOL62736.7%
 
MDB62736.7%
 
DC62736.7%
 
PDT62736.7%
 
NOVO62736.7%
 
PSTU62736.7%
 
PSDB62736.7%
 
Other values (3)1881920.0%
 
2020-10-13T08:36:37.280478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:37.507335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length5
Median length3
Mean length3.333333333
Min length2

NM_PARTIDO
Categorical

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
Partido dos Trabalhadores
12546 
Partido Social Liberal
12546 
Partido da Social Democracia Brasileira
6273 
Partido Pátria Livre
6273 
Patriota
6273 
Other values (8)
50184 
ValueCountFrequency (%) 
Partido dos Trabalhadores1254613.3%
 
Partido Social Liberal1254613.3%
 
Partido da Social Democracia Brasileira62736.7%
 
Partido Pátria Livre62736.7%
 
Patriota62736.7%
 
Podemos62736.7%
 
Rede Sustentabilidade62736.7%
 
Partido Socialista dos Trabalhadores Unificado62736.7%
 
Partido Socialismo e Liberdade62736.7%
 
Democracia Cristã62736.7%
 
Other values (3)1881920.0%
 
2020-10-13T08:36:37.759629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:37.992467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length46
Median length22
Mean length23.8
Min length7

SQ_COLIGACAO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.800000504e+11
Minimum2.8000005e+11
Maximum2.800000507e+11
Zeros0
Zeros (%)0.0%
Memory size735.1 KiB
2020-10-13T08:36:38.196347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8000005e+11
5-th percentile2.8000005e+11
Q12.800000501e+11
median2.800000504e+11
Q32.800000506e+11
95-th percentile2.800000507e+11
Maximum2.800000507e+11
Range668
Interquartile range (IQR)566

Descriptive statistics

Standard deviation251.1373844
Coefficient of variation (CV)8.969190686e-10
Kurtosis-1.596994444
Mean2.800000504e+11
Median Absolute Deviation (MAD)252
Skewness-0.1374572011
Sum2.634660474e+16
Variance63069.98584
MonotocityNot monotonic
2020-10-13T08:36:38.373243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
2.800000507e+111254613.3%
 
2.800000504e+111254613.3%
 
2.800000506e+1162736.7%
 
2.800000506e+1162736.7%
 
2.800000501e+1162736.7%
 
2.800000506e+1162736.7%
 
2.800000502e+1162736.7%
 
2.800000501e+1162736.7%
 
2.800000505e+1162736.7%
 
2.800000506e+1162736.7%
 
Other values (3)1881920.0%
 
ValueCountFrequency (%) 
2.8000005e+1162736.7%
 
2.8000005e+1162736.7%
 
2.800000501e+1162736.7%
 
2.800000501e+1162736.7%
 
2.800000502e+1162736.7%
 
ValueCountFrequency (%) 
2.800000507e+111254613.3%
 
2.800000506e+1162736.7%
 
2.800000506e+1162736.7%
 
2.800000506e+1162736.7%
 
2.800000506e+1162736.7%
 

NM_COLIGACAO
Categorical

HIGH CORRELATION

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
PARTIDO ISOLADO
31365 
O POVO FELIZ DE NOVO
12546 
BRASIL ACIMA DE TUDO, DEUS ACIMA DE TODOS
12546 
ESSA É A SOLUÇÃO
6273 
PARA UNIR O BRASIL
6273 
Other values (4)
25092 
ValueCountFrequency (%) 
PARTIDO ISOLADO3136533.3%
 
O POVO FELIZ DE NOVO1254613.3%
 
BRASIL ACIMA DE TUDO, DEUS ACIMA DE TODOS1254613.3%
 
ESSA É A SOLUÇÃO62736.7%
 
PARA UNIR O BRASIL62736.7%
 
UNIDOS PARA TRANSFORMAR O BRASIL62736.7%
 
BRASIL SOBERANO62736.7%
 
VAMOS SEM MEDO DE MUDAR O BRASIL62736.7%
 
MUDANÇA DE VERDADE62736.7%
 
2020-10-13T08:36:38.606611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:38.767529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:39.252236image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length41
Median length18
Mean length21.86666667
Min length15

DS_COMPOSICAO_COLIGACAO
Categorical

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
PT / PC do B / PROS
12546 
PSL / PRTB
12546 
PPL
6273 
MDB / PHS
6273 
DC
6273 
Other values (8)
50184 
ValueCountFrequency (%) 
PT / PC do B / PROS1254613.3%
 
PSL / PRTB1254613.3%
 
PPL62736.7%
 
MDB / PHS62736.7%
 
DC62736.7%
 
REDE / PV62736.7%
 
PSDB / PTB / PP / PR / DEM / SOLIDARIEDADE / PPS / PRB / PSD62736.7%
 
PSOL / PCB62736.7%
 
PODE / PRP / PSC / PTC62736.7%
 
NOVO62736.7%
 
Other values (3)1881920.0%
 
2020-10-13T08:36:39.498593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:39.760442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length60
Median length10
Mean length13.2
Min length2

CD_SIT_TOT_TURNO
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
4
75276 
6
12546 
1
 
6273
ValueCountFrequency (%) 
47527680.0%
 
61254613.3%
 
162736.7%
 
2020-10-13T08:36:40.029275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:40.196169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:40.362627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

DS_SIT_TOT_TURNO
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
NÃO ELEITO
75276 
2º TURNO
12546 
ELEITO
 
6273
ValueCountFrequency (%) 
NÃO ELEITO7527680.0%
 
2º TURNO1254613.3%
 
ELEITO62736.7%
 
2020-10-13T08:36:40.572504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:40.723409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:40.930586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length9.466666667
Min length6

ST_VOTO_EM_TRANSITO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size735.1 KiB
N
94095 
ValueCountFrequency (%) 
N94095100.0%
 
2020-10-13T08:36:41.544370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-13T08:36:41.710276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:41.864187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

QT_VOTOS_NOMINAIS
Real number (ℝ≥0)

ZEROS

Distinct12253
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2251.867814
Minimum0
Maximum113283
Zeros6020
Zeros (%)6.4%
Memory size735.1 KiB
2020-10-13T08:36:42.130535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median94
Q31153
95-th percentile11303.2
Maximum113283
Range113283
Interquartile range (IQR)1143

Descriptive statistics

Standard deviation6979.458084
Coefficient of variation (CV)3.099408429
Kurtosis37.89200195
Mean2251.867814
Median Absolute Deviation (MAD)94
Skewness5.582538946
Sum211889502
Variance48712835.15
MonotocityNot monotonic
2020-10-13T08:36:42.476825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
060206.4%
 
142424.5%
 
229093.1%
 
321052.2%
 
416891.8%
 
514821.6%
 
612851.4%
 
711611.2%
 
810681.1%
 
109911.1%
 
Other values (12243)7114375.6%
 
ValueCountFrequency (%) 
060206.4%
 
142424.5%
 
229093.1%
 
321052.2%
 
416891.8%
 
ValueCountFrequency (%) 
1132831< 0.1%
 
1017221< 0.1%
 
992601< 0.1%
 
962661< 0.1%
 
940341< 0.1%
 

Interactions

2020-10-13T08:35:54.481579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:54.752411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:55.004255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:55.291077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:55.531928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:55.817750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:56.181524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:56.490331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:56.784151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:57.042989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:57.384778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:57.613636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:57.844491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:58.163292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:58.516545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:59.398232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:35:59.701042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:00.010220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:00.417966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:00.723783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:01.002611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:01.298426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:01.602238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:01.898053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:02.181240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:02.661196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:02.929029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:03.233176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:03.560972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:03.997701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:04.436428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:04.731249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:04.980091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:05.248927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:05.506767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:05.770797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:06.130574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:06.473361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:06.761181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:07.107967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:07.543697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:07.855504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:08.119340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:08.370184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:08.601039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:08.867873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:09.103729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:09.398544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:09.676373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-13T08:36:42.819243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-13T08:36:43.470839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-13T08:36:43.967126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-13T08:36:44.548411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-10-13T08:36:45.141043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-10-13T08:36:10.834653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-13T08:36:17.175234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

DT_GERACAOHH_GERACAOANO_ELEICAOCD_TIPO_ELEICAONM_TIPO_ELEICAONR_TURNOCD_ELEICAODS_ELEICAODT_ELEICAOTP_ABRANGENCIASG_UFSG_UENM_UECD_MUNICIPIONM_MUNICIPIONR_ZONACD_CARGODS_CARGOSQ_CANDIDATONR_CANDIDATONM_CANDIDATONM_URNA_CANDIDATONM_SOCIAL_CANDIDATOCD_SITUACAO_CANDIDATURADS_SITUACAO_CANDIDATURACD_DETALHE_SITUACAO_CANDDS_DETALHE_SITUACAO_CANDTP_AGREMIACAONR_PARTIDOSG_PARTIDONM_PARTIDOSQ_COLIGACAONM_COLIGACAODS_COMPOSICAO_COLIGACAOCD_SIT_TOT_TURNODS_SIT_TOT_TURNOST_VOTO_EM_TRANSITOQT_VOTOS_NOMINAIS
027/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FMGBRBRASIL41181NOVORIZONTE2441Presidente28000060250051BENEVENUTO DACIOLO FONSECA DOS SANTOSCABO DACIOLO#NULO#12APTO2DEFERIDOPartido isolado51PATRIPatriota280000050072PARTIDO ISOLADOPATRI4NÃO ELEITON12
127/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FPRBRBRASIL76090IRETAMA1411Presidente28000060250051BENEVENUTO DACIOLO FONSECA DOS SANTOSCABO DACIOLO#NULO#12APTO2DEFERIDOPartido isolado51PATRIPatriota280000050072PARTIDO ISOLADOPATRI4NÃO ELEITON20
227/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FMABRBRASIL7560FORMOSA DA SERRA NEGRA1051Presidente28000060250051BENEVENUTO DACIOLO FONSECA DOS SANTOSCABO DACIOLO#NULO#12APTO2DEFERIDOPartido isolado51PATRIPatriota280000050072PARTIDO ISOLADOPATRI4NÃO ELEITON48
327/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FSPBRBRASIL66052JARINU161Presidente28000060250051BENEVENUTO DACIOLO FONSECA DOS SANTOSCABO DACIOLO#NULO#12APTO2DEFERIDOPartido isolado51PATRIPatriota280000050072PARTIDO ISOLADOPATRI4NÃO ELEITON129
427/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FTOBRBRASIL73474CHAPADA DE AREIA131Presidente28000060250051BENEVENUTO DACIOLO FONSECA DOS SANTOSCABO DACIOLO#NULO#12APTO2DEFERIDOPartido isolado51PATRIPatriota280000050072PARTIDO ISOLADOPATRI4NÃO ELEITON7
527/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FMGBRBRASIL54313MATHIAS LOBATO1191Presidente28000060250051BENEVENUTO DACIOLO FONSECA DOS SANTOSCABO DACIOLO#NULO#12APTO2DEFERIDOPartido isolado51PATRIPatriota280000050072PARTIDO ISOLADOPATRI4NÃO ELEITON15
627/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FRSBRBRASIL84930FAGUNDES VARELA881Presidente28000060250051BENEVENUTO DACIOLO FONSECA DOS SANTOSCABO DACIOLO#NULO#12APTO2DEFERIDOPartido isolado51PATRIPatriota280000050072PARTIDO ISOLADOPATRI4NÃO ELEITON2
727/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FROBRBRASIL620CACAULÂNDIA261Presidente28000060247745GERALDO JOSÉ RODRIGUES ALCKMIN FILHOGERALDO ALCKMIN#NULO#12APTO2DEFERIDOColigação45PSDBPartido da Social Democracia Brasileira280000050070PARA UNIR O BRASILPSDB / PTB / PP / PR / DEM / SOLIDARIEDADE / PPS / PRB / PSD4NÃO ELEITON158
827/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FMABRBRASIL7188BELA VISTA DO MARANHÃO771Presidente28000060247745GERALDO JOSÉ RODRIGUES ALCKMIN FILHOGERALDO ALCKMIN#NULO#12APTO2DEFERIDOColigação45PSDBPartido da Social Democracia Brasileira280000050070PARA UNIR O BRASILPSDB / PTB / PP / PR / DEM / SOLIDARIEDADE / PPS / PRB / PSD4NÃO ELEITON37
927/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FPIBRBRASIL10332BERTOLÍNIA671Presidente28000060247745GERALDO JOSÉ RODRIGUES ALCKMIN FILHOGERALDO ALCKMIN#NULO#12APTO2DEFERIDOColigação45PSDBPartido da Social Democracia Brasileira280000050070PARA UNIR O BRASILPSDB / PTB / PP / PR / DEM / SOLIDARIEDADE / PPS / PRB / PSD4NÃO ELEITON45

Last rows

DT_GERACAOHH_GERACAOANO_ELEICAOCD_TIPO_ELEICAONM_TIPO_ELEICAONR_TURNOCD_ELEICAODS_ELEICAODT_ELEICAOTP_ABRANGENCIASG_UFSG_UENM_UECD_MUNICIPIONM_MUNICIPIONR_ZONACD_CARGODS_CARGOSQ_CANDIDATONR_CANDIDATONM_CANDIDATONM_URNA_CANDIDATONM_SOCIAL_CANDIDATOCD_SITUACAO_CANDIDATURADS_SITUACAO_CANDIDATURACD_DETALHE_SITUACAO_CANDDS_DETALHE_SITUACAO_CANDTP_AGREMIACAONR_PARTIDOSG_PARTIDONM_PARTIDOSQ_COLIGACAONM_COLIGACAODS_COMPOSICAO_COLIGACAOCD_SIT_TOT_TURNODS_SIT_TOT_TURNOST_VOTO_EM_TRANSITOQT_VOTOS_NOMINAIS
9408527/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FCEBRBRASIL13838CRATEÚS201Presidente28000060101650GUILHERME CASTRO BOULOSGUILHERME BOULOS#NULO#12APTO2DEFERIDOColigação50PSOLPartido Socialismo e Liberdade280000050035VAMOS SEM MEDO DE MUDAR O BRASILPSOL / PCB4NÃO ELEITON141
9408627/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FPRBRBRASIL75914IBIPORÃ801Presidente28000060101650GUILHERME CASTRO BOULOSGUILHERME BOULOS#NULO#12APTO2DEFERIDOColigação50PSOLPartido Socialismo e Liberdade280000050035VAMOS SEM MEDO DE MUDAR O BRASILPSOL / PCB4NÃO ELEITON104
9408727/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FMGBRBRASIL41815BUENO BRANDÃO1831Presidente28000060101650GUILHERME CASTRO BOULOSGUILHERME BOULOS#NULO#12APTO2DEFERIDOColigação50PSOLPartido Socialismo e Liberdade280000050035VAMOS SEM MEDO DE MUDAR O BRASILPSOL / PCB4NÃO ELEITON10
9408827/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FMGBRBRASIL41203OLHOS D ÁGUA441Presidente28000060101650GUILHERME CASTRO BOULOSGUILHERME BOULOS#NULO#12APTO2DEFERIDOColigação50PSOLPartido Socialismo e Liberdade280000050035VAMOS SEM MEDO DE MUDAR O BRASILPSOL / PCB4NÃO ELEITON4
9408927/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FMTBRBRASIL90263APIACÁS501Presidente28000060101650GUILHERME CASTRO BOULOSGUILHERME BOULOS#NULO#12APTO2DEFERIDOColigação50PSOLPartido Socialismo e Liberdade280000050035VAMOS SEM MEDO DE MUDAR O BRASILPSOL / PCB4NÃO ELEITON7
9409027/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FALBRBRASIL27154BELÉM281Presidente28000060101650GUILHERME CASTRO BOULOSGUILHERME BOULOS#NULO#12APTO2DEFERIDOColigação50PSOLPartido Socialismo e Liberdade280000050035VAMOS SEM MEDO DE MUDAR O BRASILPSOL / PCB4NÃO ELEITON15
9409127/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FMGBRBRASIL43770CORDISBURGO2061Presidente28000060247745GERALDO JOSÉ RODRIGUES ALCKMIN FILHOGERALDO ALCKMIN#NULO#12APTO2DEFERIDOColigação45PSDBPartido da Social Democracia Brasileira280000050070PARA UNIR O BRASILPSDB / PTB / PP / PR / DEM / SOLIDARIEDADE / PPS / PRB / PSD4NÃO ELEITON287
9409227/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FPRBRBRASIL74616BOM SUCESSO701Presidente28000060247745GERALDO JOSÉ RODRIGUES ALCKMIN FILHOGERALDO ALCKMIN#NULO#12APTO2DEFERIDOColigação45PSDBPartido da Social Democracia Brasileira280000050070PARA UNIR O BRASILPSDB / PTB / PP / PR / DEM / SOLIDARIEDADE / PPS / PRB / PSD4NÃO ELEITON378
9409327/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FSPBRBRASIL67997PACAEMBU1961Presidente28000060247745GERALDO JOSÉ RODRIGUES ALCKMIN FILHOGERALDO ALCKMIN#NULO#12APTO2DEFERIDOColigação45PSDBPartido da Social Democracia Brasileira280000050070PARA UNIR O BRASILPSDB / PTB / PP / PR / DEM / SOLIDARIEDADE / PPS / PRB / PSD4NÃO ELEITON806
9409427/09/202019:20:0820182Eleição Ordinária1295ELEIÇÃO GERAL FEDERAL 201807/10/2018FGOBRBRASIL93718GOIANÉSIA741Presidente28000060247745GERALDO JOSÉ RODRIGUES ALCKMIN FILHOGERALDO ALCKMIN#NULO#12APTO2DEFERIDOColigação45PSDBPartido da Social Democracia Brasileira280000050070PARA UNIR O BRASILPSDB / PTB / PP / PR / DEM / SOLIDARIEDADE / PPS / PRB / PSD4NÃO ELEITON2558